Abstract 15777: Association Between Sleep Disordered Breathing, Obstructive Sleep Apnea and Incident Cancer: A Systematic Review and Meta-Analysis

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Ghanshyam Palamaner Subash Shantha ◽  
Anita A Kumar ◽  
Lawrence J Cheskin ◽  
Samir B Pancholy
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Head And Neck ◽  
Sleep Disordered Breathing ◽  
Meta Analysis ◽  
Incident Cancer ◽  
Obstructive Sleep ◽  
Increased Risk ◽  
Disordered Breathing

Introduction: Sleep disordered breathing (SDB) and obstructive sleep apnea (OSA) increase risk for multiple morbidities such as cardiovascular events, diabetes mellitus, and hypertension. Association between SDB and incident cancer is unclear and studies that assessed this association have yielded conflicting results. Hypothesis: We systematically reviewed the literature and pooled available evidence that has associated SDP and incident cancer. Methods: Medline, Embase, Cochrane central library, and electronic databases were searched for relevant studies. Studies were included if: 1) they studied patients with SDB, and 2) reported rates of incident cancer. We excluded studies that reported cancers involving head and neck as we suspected reverse causation, since head and neck cancers can lead to SDP. Data were pooled using a random-effects model. Results: From 3522 retrieved citations, 7 observational studies were included in the review. Of these, 4 studies, representing 48,152 patients with SDB and 87,849 patients without SDB, were included in the meta-analysis. In total 6931 incident cancer cases were reported (2813 in SDB group and 4118 in non-SDB group). In the pooled analysis, patients with SDB experienced higher odds of incident cancer (OR: 1.30, 95% CI: 1.06 - 1.60, P = 0.01, I 2 : 75%, 4 included studies) compared to those without SDB. Data from 2 studies that assessed patients with OSA, showed that OSA increased risk for incident cancer at 5 years follow-up (OR: 1.90, 95% CI: 1.46 - 2.45, P < 0.001, I 2 : 0%) and 8 years follow-up (OR: 1.54, 95% CI: 1.25 - 1.88, P < 0.001, I 2 : 0%). Also, cancer risk (OR: 1.28, 95% CI: 1.09 - 1.51, P = 0.003, I 2 : 21%, 2 studies) and cancer mortality (OR: 1.84, 95% CI: 1.32 - 2.56, P = 0.003, I 2 : 0%, 2 studies) was significant only in patients with severe OSA [apnea-hypopnea index (AHI) > 30] and not in patients with mild to moderate OSA (AHI < 30). Factors namely; obesity, type of cancer, age and gender did not account for between study heterogeneity. Conclusions: SDB and OSA are associated with incident cancer. Though our study did not support the role of obesity in this association, strong mechanistic link exists, associating SDB, obesity and cancer. Future studies should assess the association between SDB and organ specific cancers.

Association between sleep-disordered breathing, obstructive sleep apnea, and cancer incidence: a systematic review and meta-analysis

2015 ◽  
Vol 16 (10) ◽  
pp. 1289-1294 ◽  
Author(s):  
Ghanshyam Palamaner Subash Shantha ◽  
Anita Ashok Kumar ◽  
Lawrence J. Cheskin ◽  
Samir Bipin Pancholy
Keyword(s):  
Systematic Review ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Cancer Incidence ◽  
Sleep Disordered Breathing ◽  
Meta Analysis ◽  
Obstructive Sleep ◽  
Disordered Breathing

scholarly journals Follow-up and Time to Treatment in an Urban Cohort of Children with Sleep-Disordered Breathing

2018 ◽  
Vol 159 (2) ◽  
pp. 371-378 ◽  
Author(s):  
Vandra C. Harris ◽  
Anne R. Links ◽  
Julia M. Kim ◽  
Jonathan Walsh ◽  
David E. Tunkel ◽  
...  
Keyword(s):  
Primary Care ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Loss To Follow Up ◽  
Obstructive Sleep Apnea Severity ◽  
Obstructive Sleep ◽  
Lost To Follow Up ◽  
Disordered Breathing

Objective To evaluate follow-up and timing of sleep-disordered breathing diagnosis and treatment in urban children referred from primary care. Study Design Retrospective longitudinal cohort analysis. Setting Tertiary health system. Subjects and Methods Pediatric outpatients with sleep-disordered breathing, referred from primary care for subspecialty appointment or polysomnography in 2014, followed for 2 years. Timing of polysomnography or subspecialty appointments, loss to follow-up, and sleep-disordered breathing severity were main outcomes. Chi-square and t-test identified differences in children referred for polysomnography, surgery, and loss to follow-up. Logistic regression identified predictors of loss to follow-up. Days to polysomnography or surgery were evaluated using the Kaplan-Meier estimator, with Cox regression comparing estimates by polysomnography receipt and disease severity. Results Of 216 children, 188 (87%) had public insurance. Half (109 [50%]) were lost to follow-up after primary care referral. More children were lost to follow-up when referred for polysomnography (50 [76%]) compared with subspecialty evaluation (35 [32%]; P < .001). Children referred to both polysomnography and subspecialty were more likely to be lost to follow-up (odds ratio = 2.73, 95% confidence interval = 1.29-5.78; P = .009). For children who obtained polysomnography, an asymmetric distribution of obstructive sleep apnea severity was not observed ( P = .152). Median time to polysomnography and surgery was 75 and 226 days, respectively. Obstructive sleep apnea severity did not influence time to surgery ( P = .410). Conclusion In this urban population, half of the children referred for sleep-disordered breathing evaluation are lost to follow-up from primary care. Obstructive sleep apnea severity did not predict follow-up or timeliness of treatment. These findings suggest social determinants may pose barriers to care in addition to the clinical burden of sleep-disordered breathing.

scholarly journals Long-term Impact of Adenotonsillectomy on the Quality of Life of Children with Sleep-disordered breathing

2020 ◽  
Author(s):  
Juliana Alves Sousa Caixeta ◽  
Jessica Caixeta Silva Sampaio ◽  
Vanessa Vaz Costa ◽  
Isadora Milhomem Bruno da Silveira ◽  
Carolina Ribeiro Fernandes de Oliveira ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Long Term Effects ◽  
Obstructive Sleep ◽  
Long Term Impact ◽  
Disordered Breathing

Abstract Introduction Adenotonsillectomy is the first-line treatment for obstructive sleep apnea secondary to adenotonsillar hypertrophy in children. The physical benefits of this surgery are well known as well as its impact on the quality of life (QoL), mainly according to short-term evaluations. However, the long-term effects of this surgery are still unclear. Objective To evaluate the long-term impact of adenotonsillectomy on the QoL of children with sleep-disordered breathing (SDB). Method This was a prospective non-controlled study. Children between 3 and 13 years of age with symptoms of SDB for whom adenotonsillectomy had been indicated were included. Children with comorbities were excluded. Quality of life was evaluated using the obstructive sleep apnea questionnaire (OSA-18), which was completed prior to, 10 days, 6 months, 12 months and, at least, 18 months after the procedure. For statistical analysis, p-values lower than 0.05 were defined as statistically significant. Results A total of 31 patients were enrolled in the study. The average age was 5.2 years, and 16 patients were male. The OSA-18 scores improved after the procedure in all domains, and this result was maintained until the last evaluation, done 22 ± 3 months after the procedure. Improvement in each domain was not superior to achieved in other domains. No correlation was found between tonsil or adenoid size and OSA-18 scores. Conclusion This is the largest prospective study that evaluated the long-term effects of the surgery on the QoL of children with SDB using the OSA-18. Our results show adenotonsillectomy has a positive impact in children's QoL.

827 Central Sleep Apnea in a patient with Multiple Sclerosis

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A322-A323
Author(s):  
Rahul Dasgupta ◽  
Sonja Schütz ◽  
Tiffany Braley
Keyword(s):  
Multiple Sclerosis ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Central Sleep Apnea ◽  
Progressive Multiple Sclerosis ◽  
Obstructive Sleep ◽  
Increased Risk ◽  
Demyelinating Lesions ◽  
The Brain

Abstract Introduction Sleep-disordered breathing is common in persons with multiple sclerosis (PwMS), and may contribute to debilitating fatigue and other chronic MS symptoms. The majority of research to date on SDB in MS has focused on the prevalence and consequences of obstructive sleep apnea; however, PwMS may also be at increased risk for central sleep apnea (CSA), and the utility of methods to assess CSA in PwMS warrant further exploration. We present a patient with secondary progressive multiple sclerosis who was found to have severe central sleep apnea on WatchPAT testing. Report of case(s) A 61 year-old female with a past medical history of secondary progressive multiple sclerosis presented with complaints of fragmented sleep. MRI of the brain, cervical spine, and thoracic spine showed numerous demyelinating lesions in the brain, brainstem, cervical, and thoracic spinal cord. Upon presentation, the patient noted snoring, witnessed apneas, and daytime sleepiness. WatchPAT demonstrated severe sleep apnea, with a pAHI of 63.3, and a minimum oxygen saturation of 90%. The majority of the scored events were non-obstructive in nature (73.1% of all scored events), and occurred intermittently in a periodic fashion. Conclusion The differential diagnosis of fatigue in PwMS should include sleep-disordered breathing, including both obstructive and central forms of sleep apnea. Demyelinating lesions in the brainstem (which may contribute to impairment of motor and sensory networks that control airway patency and respiratory drive), and progressive forms of MS, have been linked to both OSA and CSA. The present data illustrate this relationship in a person with progressive MS, and offer support for the WatchPAT as a cost-effective means to evaluate for both OSA and CSA in PwMS, while reducing patient burden. PwMS may be at increased risk for CSA. Careful clinical consideration should be given to ordering appropriate sleep testing to differentiate central from obstructive sleep apnea in PwMS, particularly for patients with demyelinating lesions in the brainstem. Support (if any) 1. Braley TJ, Segal BM, Chervin RD. Obstructive sleep apnea and fatigue in patients with multiple sclerosis. J Clin Sleep Med. 2014 Feb 15;10(2):155–62. doi: 10.5664/jcsm.3442. PMID: 24532998; PMCID: PMC3899317.

Abstract P068: Obstructive Sleep Apnea is Associated with an Increase Risk of Osteoporosis

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Anawin Sanguankeo ◽  
Sikarin Upala
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Primary Outcome ◽  
Meta Analysis ◽  
Systemic Disease ◽  
Obstructive Sleep ◽  
Increased Risk ◽  
Increase Risk ◽  
Osteoporosis Risk ◽  
Stimulation Of

Background: Obstructive sleep apnea (OSA) is thought to be a systemic disease and has been associated with many disorders such as metabolic, endocrine, and especially cardiovascular diseases. One of the consequences of OSA is hypoxia, which can lead to a reduction in growth of osteoblast and a stimulation of osteoclast. Our meta-analysis was conducted to determine the risk of osteoporosis in patients with OSA compared to controls. Objectives: Eligible studies assessing the effects of obstructive sleep apnea on osteoporosis risk were comprehensively searched in PubMed/MEDLINE, EMBASE, and CENTRAL from their inception to September 2014. Two authors independently assessed article quality and extracted the data. Primary outcome were number of participants, prevalence, or risk ratio of osteoporosis in OSA and controls. Results: From 40 full-text articles, 3 studies involving 113,090 participants were included in the meta-analysis that were based on the random effects model. Compared with controls, participants who were diagnosed with obstructive sleep apnea had increased risk of osteoporosis (pooled risks ratio, 1.85; 95% CI, 1.34, 2.56). Conclusion: Patients with OSA had a higher risk of developing osteoporosis. Further study is needed to evaluate the possible mechanisms between these two conditions and to find potential treatment for OSA that could prevent osteoporosis.

Postoperative Changes in Sleep-disordered Breathing and Sleep Architecture in Patients with Obstructive Sleep Apnea

2014 ◽  
Vol 120 (2) ◽  
pp. 287-298 ◽  
Author(s):  
Frances Chung ◽  
Pu Liao ◽  
Balaji Yegneswaran ◽  
Colin M. Shapiro ◽  
Weimin Kang
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Disordered Breathing ◽  
Slow Wave Sleep ◽  
Sleep Architecture ◽  
Secondary Outcome ◽  
Apnea Hypopnea Index ◽  
Postoperative Changes ◽  
Obstructive Sleep ◽  
Disordered Breathing

Abstract Background: Anesthetics, analgesics, and surgery may profoundly affect sleep architecture and aggravate sleep-related breathing disturbances. The authors hypothesized that patients with preoperative polysomnographic evidence of obstructive sleep apnea (OSA) would experience greater changes in these parameters than patients without OSA. Methods: After obtaining approvals from the Institutional Review Boards, consented patients underwent portable polysomnography preoperatively and on postoperative nights (N) 1, 3, 5, and 7 at home or in hospital. The primary and secondary outcome measurements were polysomnographic parameters of sleep-disordered breathing and sleep architecture. Results: Of the 58 patients completed the study, 38 patients had OSA (apnea hypopnea index [AHI] &gt;5) with median preoperative AHI of 18 events per hour and 20 non-OSA patients had median preoperative AHI of 2. AHI was increased after surgery in both OSA and non-OSA patients (P &lt; 0.05), with peak increase on postoperative N3 (OSA vs. non-OSA, 29 [14, 57] vs. 8 [2, 18], median [25th, 75th percentile], P &lt; 0.05). Hypopnea index accounted for 72% of the postoperative increase in AHI. The central apnea index was low (median = 0) but was significantly increased on postoperative N1 in only non-OSA patients. Sleep efficiency, rapid eye movement sleep, and slow-wave sleep were decreased on N1 in both groups, with gradual recovery. Conclusions: Postoperatively, sleep architecture was disturbed and AHI was increased in both OSA and non-OSA patients. Although the disturbances in sleep architecture were greatest on postoperative N1, breathing disturbances during sleep were greatest on postoperative N3.

scholarly journals P.069 Respiratory dysfunction and sleep disordered breathing in children with Myasthenia Gravis

2018 ◽  
Vol 45 (s2) ◽  
pp. S34-S34
Author(s):  
HF Qashqari ◽  
I Narang ◽  
H Katzberg ◽  
K Vezina ◽  
A Khayat ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Myasthenia Gravis ◽  
Sleep Disordered Breathing ◽  
Pediatric Population ◽  
Respiratory Muscles ◽  
Apnea Hypopnea Index ◽  
Respiratory Dysfunction ◽  
Obstructive Sleep ◽  
Disordered Breathing

Background: Myasthenia Gravis ( MG) is an autoimmune disease that affects the neuromuscular junction. It typically presents with fluctuating muscle weakness which can affect respiratory muscles. Data about the prevalence of sleep disordered breathing in children with MG and the benefits of non-invasive ventilation outside the setting of MG crisis has not been studied so far. Methods: Eleven children between 3 and 18 years old with confirmed MG were recruited from the The Hospital for Sick Children Neuromuscular clinic in a prospective observational study. Informed consent was obtained and patients underwent PFTs, MIP/MEP, SNIP, FVC and standard polysomnography testing’s. Results: In our study, we found that 2/11 children had abnormal Apnea Hypopnea index (AHI) and were diagnosed with obstructive sleep apnea (OSA). One of them has juvenile ocular MG with mild to moderate OSA and the second child has congenital MG with mild OSA. CPAP therapy was initiated for both patients. Conclusions: In our cohort, obstructive sleep apnea rate was significantly higher in children with MG than the known prevalence in general pediatric population ( 18% vs 2-3% ). Early diagnosis and management of OSA can have great impact on children’s health and quality of life. A larger study is needed to validate our findings.

Obstructive Sleep Apnea in Acromegaly and the Effect of Treatment: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 105 (3) ◽  
pp. e23-e31 ◽  
Author(s):  
Matteo Parolin ◽  
Francesca Dassie ◽  
Luigi Alessio ◽  
Alexandra Wennberg ◽  
Marco Rossato ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Before And After ◽  
The Difference

Abstract Background Obstructive sleep apnea (OSA) is a common disorder characterized by upper airway collapse requiring nocturnal ventilatory assistance. Multiple studies have investigated the relationship between acromegaly and OSA, reporting discordant results. Aim To conduct a meta-analysis on the risk for OSA in acromegaly, and in particular to assess the role of disease activity and the effect of treatments. Methods and Study Selection A search through literature databases retrieved 21 articles for a total of 24 studies (n = 734). Selected outcomes were OSA prevalence and apnea-hypopnea index (AHI) in studies comparing acromegalic patients with active (ACT) vs inactive (INACT) disease and pretreatment and posttreatment measures. Factors used for moderator and meta-regression analysis included the percentage of patients with severe OSA, patient sex, age, body mass index, levels of insulin-like growth factor 1, disease duration and follow-up, and therapy. Results OSA prevalence was similar in patients with acromegaly who had ACT and INACT disease (ES = −0.16; 95% CI, −0.47 to 0.15; number of studies [k] = 10; P = 0.32). In addition, AHI was similar in ACT and INACT acromegaly patients (ES = −0.03; 95% CI, −0.49 to 0.43; k = 6; P = 0.89). When AHI was compared before and after treatment in patients with acromegaly (median follow-up of 6 months), a significant improvement was observed after treatment (ES = −0.36; 95% CI, −0.49 to −0.23; k = 10; P &lt; 0.0001). In moderator analysis, the percentage of patients with severe OSA in the populations significantly influenced the difference in OSA prevalence (P = 0.038) and AHI (P = 0.04) in ACT vs INACT patients. Conclusion Prevalence of OSA and AHI is similar in ACT and INACT patients in cross-sectional studies. However, when AHI was measured longitudinally before and after treatment, a significant improvement was observed after treatment.

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